Semantic computing
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AllenNLP: A Deep Semantic Natural Language Processing Platform Open
This paper describes AllenNLP, a platform for research on deep learning methods in natural language understanding. AllenNLP is designed to support researchers who want to build novel language understanding models quickly and easily. It is …
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Combining Fact Extraction and Verification with Neural Semantic Matching Networks Open
The increasing concern with misinformation has stimulated research efforts on automatic fact checking. The recentlyreleased FEVER dataset introduced a benchmark factverification task in which a system is asked to verify a claim using evide…
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Resource Allocation for Text Semantic Communications Open
Semantic communications have shown its great potential to improve the transmission reliability, especially in the low signal-to-noise regime. However, resource allocation for semantic communications still remains unexplored, which is a cri…
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Semantic Ranking based on Keywords Extractions in the web Open
The collection of terminologies from text is animportant for several issues, i.e., the future extraction and also summarization of keyword in semantic network. Semantic Ranking is typically performed using statistical data from text. Our p…
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Bi-Temporal Semantic Reasoning for the Semantic Change Detection in HR Remote Sensing Images Open
Semantic change detection (SCD) extends the multi-class change detection\n(MCD) task to provide not only the change locations but also the detailed\nland-cover/land-use (LCLU) categories before and after the observation\nintervals. This fi…
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Information extraction meets the Semantic Web: A survey Open
We provide a comprehensive survey of the research literature that applies Information Extraction techniques in a Semantic Web setting. Works in the intersection of these two areas can be seen from two overlapping perspectives: using Semant…
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Semantic Interoperability in Heterogeneous IoT Infrastructure for Healthcare Open
Interoperability remains a significant burden to the developers of Internet of Things’ Systems. This is due to the fact that the IoT devices are highly heterogeneous in terms of underlying communication protocols, data formats, and technol…
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Revealing the Importance of Semantic Retrieval for Machine Reading at Scale Open
Yixin Nie, Songhe Wang, Mohit Bansal. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). 2019.
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Ad Hoc Table Retrieval using Semantic Similarity Open
We introduce and address the problem of ad hoc table retrieval: answering a\nkeyword query with a ranked list of tables. This task is not only interesting\non its own account, but is also being used as a core component in many other\ntable…
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Recent change in the productivity and schematicity of the<i>way</i>-construction: A distributional semantic analysis Open
This paper presents a corpus-based study of recent change in the English way -construction, drawing on data from the 1830s to the 2000s. Semantic change in the distribution of the construction is characterized by means of a distributional …
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Heterogeneous Semantic and Bit Communications: A Semi-NOMA Scheme Open
Multiple access (MA) design is investigated for facilitating the coexistence of the emerging semantic transmission and the conventional bit-based transmission in future networks. The semantic rate is considered for measuring the performanc…
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State of Art for Semantic Analysis of Natural Language Processing Open
Semantic analysis is an essential feature of the NLP approach. It indicates, in the appropriate format, the context of a sentence or paragraph. Semantics is about language significance study. The vocabulary used conveys the importance of t…
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Rethinking Modern Communication from Semantic Coding to Semantic Communication Open
Modern communications are usually designed to pursue a higher bit-level\nprecision and fewer bits while transmitting a message. This article rethinks\nthese two major features and introduces the concept and advantage of semantics\nthat cha…
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A systematic review on semantic interoperability in the IoE-enabled smart cities Open
Smart cities have emerged as a result of smart interconnections of people, processes, data, and things, representing an excellent case study of the Internet of Everything (IoE) paradigm. One of the main challenges in realizing the smart ci…
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IdeaHound Open
Prior work on creativity support tools demonstrates how a computational semantic model of a solution space can enable interventions that substantially improve the number, quality and diversity of ideas. However, automated semantic modeling…
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Blockchain-Aided Secure Semantic Communication for AI-Generated Content in Metaverse Open
The construction of virtual transportation networks requires massive data to be transmitted from edge devices to Virtual Service Providers (VSP) to facilitate circulations between the physical and virtual domains in Metaverse. Leveraging s…
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State of Art for Semantic Analysis of Natural Language Processing Open
Semantic analysis is an essential feature of the NLP approach. It indicates, in the appropriate format, the context of a sentence or paragraph. Semantics is about language significance study. The vocabulary used conveys the importance of t…
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Standards-Based Worldwide Semantic Interoperability for IoT Open
Global IoT services (GIoTS) are combining locally available IoT resources with Cloud-based services. They are targeting world-wide services. GIoTS require interoperability between the locally installed heterogeneous IoT systems. Semantic p…
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Explainable Fashion Recommendation: A Semantic Attribute Region Guided Approach Open
In fashion recommender systems, each product usually consists of multiple semantic attributes (e.g., sleeves, collar, etc). When making cloth decisions, people usually show preferences for different semantic attributes (e.g., the clothes w…
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Building Semantic Knowledge Graphs from (Semi-)Structured Data: A Review Open
Knowledge graphs have, for the past decade, been a hot topic both in public and private domains, typically used for large-scale integration and analysis of data using graph-based data models. One of the central concepts in this area is the…
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Reliable Semantic Communication System Enabled by Knowledge Graph Open
Semantic communication is a promising technology used to overcome the challenges of large bandwidth and power requirements caused by the data explosion. Semantic representation is an important issue in semantic communication. The knowledge…
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SPair-71k: A Large-scale Benchmark for Semantic Correspondence Open
Establishing visual correspondences under large intra-class variations, which is often referred to as semantic correspondence or semantic matching, remains a challenging problem in computer vision. Despite its significance, however, most o…
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Named Entity Recognition for Social Media Texts with Semantic Augmentation Open
Existing approaches for named entity recognition suffer from data sparsity problems when conducted on short and informal texts, especially user-generated social media content. Semantic augmentation is a potential way to alleviate this prob…
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Transfer Learning for Neural Semantic Parsing Open
The goal of semantic parsing is to map natural language to a machine interpretable meaning representation language (MRL). One of the constraints that limits full exploration of deep learning technologies for semantic parsing is the lack of…
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Semantic Framework of Internet of Things for Smart Cities: Case Studies Open
In recent years, the advancement of sensor technology has led to the generation of heterogeneous Internet-of-Things (IoT) data by smart cities. Thus, the development and deployment of various aspects of IoT-based applications are necessary…
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An ontology-guided semantic data integration framework to support integrative data analysis of cancer survival Open
Using an ontology-based data integration approach not only standardizes the definitions of data variables through a common, controlled vocabulary, but also makes the semantic relationships among variables from different sources explicit an…
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Engineering Semantic Communication: A Survey Open
As the global demand for data has continued to rise exponentially, some have begun turning to the idea of semantic communication as a means of efficiently meeting this demand. Pushing beyond the boundaries of conventional communication sys…
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Learning Hierarchical Semantic Image Manipulation through Structured Representations Open
Understanding, reasoning, and manipulating semantic concepts of images have been a fundamental research problem for decades. Previous work mainly focused on direct manipulation on natural image manifold through color strokes, key-points, t…
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Adaptive Bit Rate Control in Semantic Communication With Incremental Knowledge-Based HARQ Open
Semantic communication has witnessed a great progress with the development of natural language processing (NLP) and deep learning (DL). Although existing semantic communication technologies can effectively reduce errors in semantic interpr…
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Semantic Earth Observation Data Cubes Open
There is an increasing amount of free and open Earth observation (EO) data, yet more information is not necessarily being generated from them at the same rate despite high information potential. The main challenge in the big EO analysis do…